package top.jolyoulu.streaming

import org.apache.kafka.clients.consumer.{ConsumerConfig, ConsumerRecord}
import org.apache.spark.SparkConf
import org.apache.spark.streaming.dstream.InputDStream
import org.apache.spark.streaming.kafka010.{ConsumerStrategies, KafkaUtils, LocationStrategies}
import org.apache.spark.streaming.{Seconds, StreamingContext}

import scala.util.Random

/**
 * @Author: JolyouLu
 * @Date: 2024/5/19 15:07
 * @Description
 */
object Spark01_SparkStreaming_Kafka {
  def main(args: Array[String]): Unit = {
    val sparkConf: SparkConf = new SparkConf().setMaster("local[*]").setAppName("SparkStreaming")
    val ssc = new StreamingContext(sparkConf, Seconds(3))

    //定义 Kafka 参数
    val kafkaPara: Map[String, Object] = Map[String, Object](
      ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG ->
        "localhost:9092",
      ConsumerConfig.GROUP_ID_CONFIG -> "test",
      "key.deserializer" ->
        "org.apache.kafka.common.serialization.StringDeserializer",
      "value.deserializer" ->
        "org.apache.kafka.common.serialization.StringDeserializer"
    )

    //获取Kafka数据
    val kafkaDataDS: InputDStream[ConsumerRecord[String, String]] = KafkaUtils.createDirectStream[String, String](
      ssc,
      LocationStrategies.PreferConsistent,
      ConsumerStrategies.Subscribe[String, String](Set("test"), kafkaPara)
    )
    kafkaDataDS.map(_.value()).print()

    ssc.start()
    ssc.awaitTermination()
  }
}
